APPARATUS AND METHOD OF CONSTRUCTING USER BEHAVIOR PATTERN BASED ON EVENT LOG GENERATED FROM CONTEXT-AWARE SYSTEM ENVIRONMENT

• US 20090070283A1
• Filed: 03/28/2008
• Published: 03/12/2009
• Est. Priority Date: 09/11/2007
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Kim, Rockwon, Kim, Hyoungsun, KANG, Taegun, Cho, Hyunkyu, Moon, Aekyeung
• Application Number:
  US12/058,250
• Publication Number:
  US 20090070283A1
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

Disclosed is an apparatus and method of constructing a user behavior pattern based on an event log that is a record of events generated in a context-aware system environment. An apparatus and method of constructing a user behavior pattern based on an event log according to an embodiment of the invention intelligently and actively provides the most applicable service in consideration of a specific user and a location thereof to a user, on the basis of a constructed user behavior pattern.

Claims

1. A method of constructing a user behavior pattern based on an event log for events generated in a context-aware system, the method comprising:

creating the event log for the events generated in the context-aware system;

extracting a behavior vector from the event log, the behavior vector including information indicating a specific service provided by the context-aware system and information on a user using the specific service as vector elements; and

constructing a behavior pattern of the user with respect to the specific service from the behavior vector on the basis of a computer learning theory.

2. The method of claim 1, wherein the information on the user includes information that indicates a specific user using the specific service, and

the constructing of the behavior pattern of the user constructs a behavior pattern of the specific user for the specific service from the behavior vector.

3. The method of claim 1, wherein the information on the user includes information that indicates a specific user using the specific service and information that indicates a specific location of the specific user using the specific service, and

the constructing of the behavior pattern of the user constructs a behavior pattern of the specific user at the specific location with respect to the specific service from the behavior vector.

4. The method of claim 1, wherein the information on the user includes information that indicates a specific location of the user using the specific service, and

the constructing of the behavior pattern of the user constructs a behavior pattern of the user at the specific location with respect to the specific service from the behavior vector.

5. The method of claim 1, wherein the creating of the event log includes collecting the events generated in the context-aware system to create a source event log, and removing an invalid event from the source event log to create a final event log, and

the behavior vector is extracted from the final event log.

6. The method of claim 1, further comprising:

recognizing at least one of information specifying the user and information specifying the user location from the event log for the events generated in the context-aware system, recognizing the behavior pattern corresponding to the recognized information, and providing a service corresponding to the recognized behavior pattern to the user.

7. The method of claim 6, wherein, in the recognizing of at least one of information specifying the user and information specifying the user location, the recognizing of the behavior pattern, and the providing of the service to the user, the service corresponding to the recognized behavior pattern is transmitted to the user terminal so as to allow the user to select a desired service.

8. The method of claim 1, wherein the behavior vector further includes information generated by a physical sensor in the context-aware system as a vector element.

9. The method of claim 1, wherein the behavior vector further includes information on a command from the user for the events generated in the context-aware system and whether the command is successively executed or not as a vector element.

10. The method of claim 1, wherein the computer learning theory is a nerve network learning theory or a machine learning theory based on a posterior probability distribution analysis.

11. An apparatus for constructing a user behavior pattern based on an event log for events generated in a context-aware system, the apparatus comprising:

an event log creator that creates the event log for the events generated in the context-aware system;

a behavior vector extractor that extracts a behavior vector from the event log, the behavior vector including information indicating a specific service provided by the context-aware system, and at least one of information specifying a user using the specific service and information specifying a location of the user using the specific service, as vector elements; and

a behavior pattern constructor that constructs a behavior pattern of the user with respect to the specific service from the behavior vector on the basis of a computer learning theory.